高通量自动化AI赋能的佐剂开发(PAS-Engine)
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Only AI can help us program complex living systems. Living systems are so complex that we cannot find a set of principles to program life precisely. But AI can solve this problem by discovering these implicit associations from. Meanwhile great progress has been made in the field of multimodality. And based on the fact that natural language programming is extremely accessible, it is now beginning to change the future of life sciences as well.
Proteins as the core language of the life sciences are naturally adapted to big models, and protein language corresponds to natural language in several structures. Once biologists have fully cracked the code of the protein universe, proteins with new, specialized functions can be generated with the assistance of generative AI. This will be a milestone in the field of synthetic biology and will revolutionize the history of the life sciences themselves.
But one big model can’t solve all the problems, the key lies in the model tuning in the segmentation field. Specifically, we apply the protein language of life sciences to immune discrimination, and we have built an exclusive immune design platform by simulating the classifiers of the human immune system itself, which gradually realizes immune system programming.
We focus on immunogenicity prediction and immune-related model tuning and molecule generation. Currently our team has implemented a platform for generator+discriminator tandem generation of antigens and drugs.
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